Madras Agricultural Journal
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Research Article | Open Access | Peer Review

Single Marker Analysis for Oil Yield and Component Traits in Groundnut (Arachis hypogaea L.)

Volume : 102
Issue: Jan-mar
Pages: 6 - 9
Published: May 18, 2023
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Abstract


In groundnut, marker-trait association was studied for ten yield and yield component traits using 60 SSR markers. Single marker analysis was performed to ascertain the relationship between the marker and traits. The genotype and phenotype of 71 F 2:3 population were subjected to single marker analysis (SMA) using single factor regression analysis. A total of 20 markers gave significant association with at least one of the 10 traits studied. Most of the markers were found to be related to more than one trait. The results indicated that markers PGP03A08 and SEQ11HO1 weight recorded about 12.8 and 9.6 per cent phenotypic variance explained for the trait 100- kernel weight and number of branches per plant. In addition, these markers also showed association with other traits. Marker PGP03A08 was also associated with 100-pod weight, pod yield per plant, kernel yield per plant and oil yield per plant. Similarly other markers viz., SEQ4EO8, Ah2562, GM1369, Ah51, PMc348 and GM1369 had recorded association with more traits. Hence, these markers could be considered as a potential tool in the marker assisted breeding in groundnut.

DOI
Pages
6 - 9
Creative Commons
Copyright
© The Author(s), 2025. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Groundnut SSR Regression Oil yield.
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